Special Feature for Detecting Afforestation, Reforestation, Deforestation using Remote Sensing and Geographical Information.
スポンサーリンク
概要
著者
-
Awaya Yoshio
Forestry And Forest Products Research Institute
-
Awaya Yoshio
Forestry And Forest Products Res. Inst. Ibaraki Jpn
関連論文
- VEGETATION CHANGE DETECTION USING LANDSAT DATA IN NORTHERN FINLAND : A TEST CASE USING SMOOTHING AND LAPLACIAN FILTERING (15th Symposium on Polar Biology)
- Detection of Afforestation, Reforestation and Deforestation (ARD) by Visual Photo Interpretation of High Spatial Resolution Images : A Fundamental Case Study
- Monitoring the Target Region of the Kyoto Protocol Article 3.3 with LANDSAT/TM Data
- Analysis of Canopy Structure in Beech (Fagus crenata) Secondary Forests using an Airborne Laser Scanner(Silvilaser)
- Accuracy Assessment of ARD Detection by RS
- Application of Automatic Binarization Method for Nationwide Forest Area Mapping using Satellite Imagery
- Methodology of Detecting ARD area by Remote Sensing
- Development of a Prediction Probability Model to Monitor ARD Areas
- A Semi-empirical Topographic Correction Method based on the Relation between Slope-aspect and Mean Radiance.
- Estimating Mean Height and Stand Volume in Broad Leaved Forest Stands using LiDAR(Silvilaser)
- Special Feature for Detecting Afforestation, Reforestation, Deforestation using Remote Sensing and Geographical Information.